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The changes in job-housing balance during the Covid-19 period in China.

Zhenjun LiPengjun ZhaoLing YuXiaodong HaiYongheng Feng
Published in: Cities (London, England) (2023)
By using three continuous years of national-scale cellphone signaling data from Jan. 2019 to Dec. 2021, this study adds fresh evidence for job-housing balance changes at the Quxian level during the COVID-19 period in China. The findings show that according to the resident-balance index and worker-balance index, the job-housing balance jumped when the number of COVID-19 confirmed cases reached its peak in February 2020, with an average of 94.4 % which is the highest level during these three years. The study also found that the Quxian -level job-housing balance has generally improved steadily in the two years of the pandemic. In addition, the results highlighted the huge gaps between females and males in the job-housing balance, but the gender disparities in job-housing balance were reduced to a minimum during the pandemic lockdown. In addition, by comparison analysis of the changes in resident-balance index and worker-balance index during this unprecedented crisis, this study found that for Quxians with high economic vitality, worker-balance index increased greater than resident-balance index, but for Quxians with low economic vitality, the reverse happened. Our findings provide a better understanding of the job-housing relationship during public health crises that can support the urban management in the future policymaking.
Keyphrases
  • coronavirus disease
  • sars cov
  • public health
  • mental illness
  • social support
  • patient safety
  • healthcare
  • machine learning
  • respiratory syndrome coronavirus
  • deep learning